ABB ACS880 Series, Firmware Manual

Page: 332 / 764

Def / Type
FbEq 16b / 32b Description Name / Range /
Selection No.
- / real32 Minimum actual speed for speed controller adaptation.
Speed controller gain and integration time can be
adapted according to actual speed (
90.1 Motor speed
for control ).
This is done by multiplying the gain ( 25.2 Speed
proportional gain ) and integration time ( 25.3 Speed
integration time ) by coefficients at certain speeds. The
coefficients are defined individually for both gain and
integration time.
When actual speed is below or equal to
25.18 Speed
adapt min limit , the gain is multiplied by 25.21 Kp adapt
coef at min speed , and the integration time divided by
25.22 Ti adapt coef at min speed .
When actual speed is equal to or above 25.19 Speed
adapt max limit , no adaptation takes place (the
coefficient is 1).
When actual speed is between
25.18 Speed adapt min
limit and 25.19 Speed adapt max limit , the coefficients
for the gain and integration time are calculated linearly
on the basis of the breakpoints.
See also the block diagram on page
750 .
1.000
K
p
= Proportional gain
T
I
= Integration time
Actual speed
(
90.01) (rpm)
25.19 25.18
Coefficient for K
p
or T
I
25.21 or
25.22
0
Speed adapt min
limit 25.18
1 = 1 rpm / 1 = 1 rpm Minimum actual speed for speed controller adaptation. 0...30000 rpm
- / real32 Maximum actual speed for speed controller adaptation.
See parameter
25.18 Speed adapt min limit .
Speed adapt max
limit 25.19
1 = 1 rpm / 1 = 1 rpm Maximum actual speed for speed controller adaptation. 0...30000 rpm
1.000 / real32 Proportional gain coefficient at minimum actual speed.
See parameter
25.18 Speed adapt min limit .
Kp adapt coef at min
speed 25.21
1000 = 1 / 1000 = 1 Proportional gain coefficient at minimum actual speed. 0.000 ... 10.000
1.000 / real32 Integration time coefficient at minimum actual speed.
See parameter
25.18 Speed adapt min limit .
Ti adapt coef at min
speed 25.22
1000 = 1 / 1000 = 1 Integration time coefficient at minimum actual speed. 0.000 ... 10.000
332 Parameters